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- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
argilla
PublicArgilla is a collaboration tool for AI engineers and domain experts to build high-quality datasetsopen-human-feedback-chat
Publicsynthetic-data-generator
Publicargilla-cookbook
Publicargilla-llama-index
Publicargilla-python
Public archivespacy-wordnet
Publicdata-explorer
Publicargilla-sdk-chatbot
Publicargilla-hf-dataset-sync
Publicdata-is-better-together
Publicdistilabel-workbench
PublicLLM-Blender
Public[ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths of multiple open-source LLMs. LLM-Blender cut the weaknesses through ranking and integrate the strengths through fusing generation to enhance the capability of LLMs.dataset-cron-refresh
Publicargilla-direct-poc
Publicargilla-server
Public archiveorpo
Publiccookbook
Publicargilla-haystack
Publictrl
Publicdistilabel-spin-dibt
Public.github
Publicdill
Publicnotus
PublicNotus is a collection of fine-tuned LLMs using SFT, DPO, SFT+DPO, and/or any other RLHF techniques, while always keeping a data-first approachargilla-docker-deploy
PublicFastChat
Publicchat-ui
Public